Search Results - optimal ((self algorithm) OR (((_ algorithm) OR (based algorithm))))*

Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
Get full text
Get full text

Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

“…Other metaheuristic approaches such as genetic algorithm, differential evolution algorithm, particle swarm optimization, and ant colony optimization are still preferable to address combinatorial optimization problems. …”
Get full text
Get full text
Get full text
Get full text

Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). DSSA is a schedule based protocol and the objective of the algorithm is to assign the time slots to the nodes and avoid collision. …”
Get full text
Get full text

Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). DSSA is a schedule based protocol and the objective of the algorithm is to assign the time slots to the nodes and avoid collision. …”
Get full text
Get full text

Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). DSSA is a schedule based protocol and the objective of the algorithm is to assign the time slots to the nodes and avoid collision. …”
Get full text
Get full text

Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
Get full text
Get full text

QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs) by Moghanjoughi, Ayyoub Akbari, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir

“…In this paper, a new algorithm, Intelligent agent AntNet based Routing Algorithm (IANRA) is proposed to enhance load balancing strategy in Wireless Networks (WNs). …”
Get full text
Get full text

Self organizing multi-objective optimization problem by Ismail, Fatimah Sham, Yusof, Rubiyah, Khalid, Marzuki

“…In order to overcome these problems, this paper proposes a new self organizing genetic algorithm (SOGA) for multi-objective optimization problems. …”
Get full text
Get full text

Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm by Ehteram M., Othman F.B., Yaseen Z.M., Afan H.A., Allawi M.F., Malek M.B.A., Ahmed A.N., Shahid S., Singh V.P., El-Shafie A.

“…Decision making; Disaster prevention; Floods; Routing algorithms; Water resources; Absolute deviations; Bat algorithms; Comparative analysis; Computational time; Flood routing; Muskingum models; Particle swarm optimization algorithm; Swarm algorithms; Particle swarm optimization (PSO); accuracy assessment; algorithm; comparative study; decision making; flood; flood forecasting; flood routing; numerical method; optimization; parameter estimation; water resource; United Kingdom; United States…”

Performance analysis of ant colony's algorithm: load-balancing in QoS-based wireless mesh networks routing by Moghanjoughi, Ayyoub Akbari, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir

“…The design of the algorithm is based on: the specific self-organizing behavior of ant colonies, the shortest path discovery, and the related framework of ant colony optimization (ACO). …”
Get full text
Get full text
Get full text

Investigation of enhanced particle swarm optimization algorithm for the OFDMA interference management in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Hashim, Wahidah, Islam, Shayla

“…This paper proposes the subcarrier allocation approach through investigating previous methods, and also the Enhanced Particle Swarm Optimization (PSO) algorithm is analyzed. The both of the algorithms cross functionality is analyzed and compared the performance of the subcarrier allocation of OFDMA systems in Heterogeneous Network (HetNet). …”
Get full text
Get full text
Get full text
Get full text

Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm by Ehteram, Mohammad, Othman, Faridah, Yaseen, Zaher Mundher, Afan, Haitham Abdulmohsin, Allawi, Mohammed Falah, Malek, Marlinda Abdul, Ahmed, Ali Najah, Shahid, Shamsuddin, Singh, Vijay P., El-Shafie, Ahmed

“…In this study, a hybrid of the bat algorithm (BA) and the particle swarm optimization (PSO) algorithm, i.e., the hybrid bat-swarm algorithm (HBSA), was developed for the optimal determination of these four parameters. …”
Get full text
Get full text

Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Muttaqi K.M.

LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

“…We develop an active-set based block coordinate descent algorithm (BCD) to optimize exactly the group LASSO. …”
Get full text
Get full text

Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

“…Deep reinforcement learning is a self-learning algorithm through trial and error and experience, without any prior knowledge. …”
Get full text
Get full text
Get full text

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

“…These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. …”
Get full text
Get full text
Get full text
Get full text

Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

“…It reduces the number of handovers by 29.7% and 26.9%, respectively, compared to the conventional RSSI based handover algorithm and the previous worked, mobility improved handover (MIHO) algorithm. …”
Get full text
Get full text

Self-organized HGBBDSA approach for the power allocation in OFDMA-based heterogeneous network by Mohammad Kamrul, Hasan, Ismail, Ahmad Fadzil, Islam, Shayla, Wahidah, Hashim

“…The integration of GA with Biogeography Based Optimization algorithm benchmarked over the Particle Swarm Optimization (PSO). …”
Get full text
Get full text
Get full text

Optimal tuning of sigmoid PID controller using nonlinear sine cosine algorithm for the automatic voltage regulator system --- KIV (status in press) by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

“…In addition, the parameters of the proposed SPID controller are obtained using an enhanced self-tuning heuristic optimization method called Nonlinear Sine Cosine Algorithm (NSCA), for achieving a better dynamic response, particularly with regards to the steady-state errors and overshoot of the system. …”
Get full text
Get full text
Get full text
Get full text

Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries by Jaderi, Fereshteh, Ibrahim, Zelina Zaiton, Nikoo, Mehdi, Nikoo, Mohammad

“…In order to evaluate the accuracy of the model, we compare it with the fuzzy model, and the results indicate that self-organizing systems optimized with the genetic algorithm have higher ability, flexibility and accuracy than the fuzzy model in predicting risk.…”
Get full text
Get full text